基于动态事件触发的Vienna整流器模型预测控制  

Dynamic Event-Triggered Model Predictive Control for Vienna Rectifier

作　　者：周运红 张爱民[1] 黄晶晶[1] 杜羽东 张蕾[2] Zhou Yunhong;Zhang Aimin;Huang Jingjing;Du Yudong;Zhang Lei(School of Automation Science and Engineering Xi’an Jiaotong University,Xi’an 710049 China;School of Electronic Information Xi’an Polytechnic University,Xi’an 710049 China)

机构地区：[1]西安交通大学自动化科学与工程学院,西安710049 [2]西安工程大学电子信息学院,西安710049

出　　处：《电工技术学报》2022年第8期2040-2050,共11页Transactions of China Electrotechnical Society

基　　金：国家重点研发计划(2016YFF0201205);四川省科技计划(2021YJ0490);陕西省技术创新引导计划(2020TG-011)资助项目。

摘　　要：为了解决直流充电系统中应用于Vienna整流器的有限控制集-模型预测控制(FCS-MPC)方法占用过多计算资源、影响系统性能的问题,该文提出一种结合动态事件触发规则的模型预测控制(DET-MPC)策略。该方法实时检测系统数据并计算状态误差,只有当系统状态满足事件触发条件时,才更新系统采样数据并进行下一步的模型预测控制计算,否则将保持原有开关状态以减少计算负担;通过在事件触发条件中引入动态变量,使得系统状态发生变化时,能快速调节事件触发条件,以保证系统稳态性能。为了验证所提DET-MPC方法,进行了实验对比分析,结果表明,所提方法能在保证系统性能的前提下能有效减少计算负担,降低开关损耗,提高系统效率,并且在各系统状态变化后有较好的稳态性能。A dynamic event-triggered model predictive control(DET-MPC) strategy is proposed for the Vienna rectifier in the DC charging system. In the proposed method, the MPC scheme is carried out only when the event-triggered condition of the system is met. Otherwise, the switch state signal is held to reduce the calculation burden. Meanwhile, a dynamic function is introduced into the event-triggered condition to guarantee the steady-state performance of the system. Compared with the conventional finite control set model predictive control, the DET-MPC has advantages of less computational burden and less switching losses, while ensuring satisfactory regulation performance.The experimental results in the three-phase Vienna rectifier from the comparison with FCS-MPC demonstrate the effectiveness of the proposed DET-MPC method.

关 键 词：VIENNA整流器 模型预测控制 动态事件触发 直流充电系统 

分 类 号：TM461[电气工程—电器]